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   "cell_type": "code",
   "execution_count": null,
   "id": "6024099a-c0fd-4467-a732-61aa496f656c",
   "metadata": {},
   "outputs": [],
   "source": [
    "print('hello,world')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "279360f2-3403-43eb-9300-fe3abffadc35",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 第一步你需要手工安装依赖包 \n",
    "# pip install matplotlib -i https://pypi.tuna.tsinghua.edu.cn/simple \n",
    "# 或者执行 pip install -r "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ff418362-2cba-4953-a312-de60aa20a84e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "  \n",
    "s = pd.Series(np.arange(20))\n",
    "fig = plt.figure(figsize=(8, 4))\n",
    "ax = plt.subplot(111, projection='polar')\n",
    "ax.plot(s, linestyle='--', marker='.', lw=3)\n",
    "plt.savefig(\"temp.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6107f39f-5ff4-4545-ae2c-62d32dec720c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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